Dataset statistics
| Number of variables | 18 |
|---|---|
| Number of observations | 6703 |
| Missing cells | 11207 |
| Missing cells (%) | 9.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 942.7 KiB |
| Average record size in memory | 144.0 B |
Variable types
| Categorical | 8 |
|---|---|
| Numeric | 10 |
mifid_money_other_brokers is highly correlated with mifid_invested_other_brokers | High correlation |
mifid_invested_other_brokers is highly correlated with mifid_money_other_brokers | High correlation |
finish_mifid_days has 2890 (43.1%) missing values | Missing |
first_deposit_days has 4719 (70.4%) missing values | Missing |
first_trade_investor_account_demo_days has 3595 (53.6%) missing values | Missing |
start_mifid_days has 4831 (72.1%) zeros | Zeros |
finish_mifid_days has 800 (11.9%) zeros | Zeros |
first_deposit_days has 89 (1.3%) zeros | Zeros |
first_deposit_amount has 4719 (70.4%) zeros | Zeros |
first_deposit_platform has 728 (10.9%) zeros | Zeros |
mifid_actual_savings has 649 (9.7%) zeros | Zeros |
mifid_next_year_savings has 649 (9.7%) zeros | Zeros |
mifid_invested_other_brokers has 3587 (53.5%) zeros | Zeros |
first_trade_investor_account_demo_days has 1804 (26.9%) zeros | Zeros |
Reproduction
| Analysis started | 2021-05-31 14:10:19.713938 |
|---|---|
| Analysis finished | 2021-05-31 14:10:52.623421 |
| Duration | 32.91 seconds |
| Software version | pandas-profiling v2.13.0 |
| Download configuration | config.yaml |
user_currency
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 52.5 KiB |
| USD | |
|---|---|
| EUR | |
| GBP | 317 |
| NO_CURRENCY | 2 |
Length
| Max length | 11 |
|---|---|
| Median length | 3 |
| Mean length | 3.002386991 |
| Min length | 3 |
Characters and Unicode
| Total characters | 20125 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | EUR |
|---|---|
| 2nd row | USD |
| 3rd row | EUR |
| 4th row | EUR |
| 5th row | EUR |
| Value | Count | Frequency (%) |
| USD | 3270 | |
| EUR | 3114 | |
| GBP | 317 | 4.7% |
| NO_CURRENCY | 2 | < 0.1% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| usd | 3270 | |
| eur | 3114 | |
| gbp | 317 | 4.7% |
| no_currency | 2 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| U | 6386 | |
| S | 3270 | |
| D | 3270 | |
| R | 3118 | |
| E | 3116 | |
| G | 317 | 1.6% |
| B | 317 | 1.6% |
| P | 317 | 1.6% |
| N | 4 | < 0.1% |
| C | 4 | < 0.1% |
| Other values (3) | 6 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 20123 | |
| Connector Punctuation | 2 | < 0.1% |
Most frequent character per category
| Value | Count | Frequency (%) |
| U | 6386 | |
| S | 3270 | |
| D | 3270 | |
| R | 3118 | |
| E | 3116 | |
| G | 317 | 1.6% |
| B | 317 | 1.6% |
| P | 317 | 1.6% |
| N | 4 | < 0.1% |
| C | 4 | < 0.1% |
| Other values (2) | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| _ | 2 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 20123 | |
| Common | 2 | < 0.1% |
Most frequent character per script
| Value | Count | Frequency (%) |
| U | 6386 | |
| S | 3270 | |
| D | 3270 | |
| R | 3118 | |
| E | 3116 | |
| G | 317 | 1.6% |
| B | 317 | 1.6% |
| P | 317 | 1.6% |
| N | 4 | < 0.1% |
| C | 4 | < 0.1% |
| Other values (2) | 4 | < 0.1% |
| Value | Count | Frequency (%) |
| _ | 2 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 20125 |
Most frequent character per block
| Value | Count | Frequency (%) |
| U | 6386 | |
| S | 3270 | |
| D | 3270 | |
| R | 3118 | |
| E | 3116 | |
| G | 317 | 1.6% |
| B | 317 | 1.6% |
| P | 317 | 1.6% |
| N | 4 | < 0.1% |
| C | 4 | < 0.1% |
| Other values (3) | 6 | < 0.1% |
user_country
Real number (ℝ≥0)
| Distinct | 122 |
|---|---|
| Distinct (%) | 1.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 47.52290019 |
| Minimum | 0 |
|---|---|
| Maximum | 121 |
| Zeros | 11 |
| Zeros (%) | 0.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 8 |
| Q1 | 31 |
| median | 36 |
| Q3 | 66.5 |
| 95-th percentile | 114 |
| Maximum | 121 |
| Range | 121 |
| Interquartile range (IQR) | 35.5 |
Descriptive statistics
| Standard deviation | 29.97011402 |
|---|---|
| Coefficient of variation (CV) | 0.6306457286 |
| Kurtosis | 0.1365035255 |
| Mean | 47.52290019 |
| Median Absolute Deviation (MAD) | 11 |
| Skewness | 1.040899302 |
| Sum | 318546 |
| Variance | 898.2077342 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 36 | 2201 | |
| 41 | 368 | 5.5% |
| 77 | 354 | 5.3% |
| 25 | 329 | 4.9% |
| 6 | 270 | 4.0% |
| 38 | 219 | 3.3% |
| 85 | 209 | 3.1% |
| 120 | 201 | 3.0% |
| 22 | 196 | 2.9% |
| 24 | 183 | 2.7% |
| Other values (112) | 2173 |
| Value | Count | Frequency (%) |
| 0 | 11 | 0.2% |
| 1 | 35 | |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
| 4 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 121 | 63 | 0.9% |
| 120 | 201 | |
| 119 | 2 | < 0.1% |
| 118 | 1 | < 0.1% |
| 117 | 39 | 0.6% |
| Distinct | 354 |
|---|---|
| Distinct (%) | 5.3% |
| Missing | 3 |
| Missing (%) | < 0.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.49328358 |
| Minimum | 0 |
|---|---|
| Maximum | 1090 |
| Zeros | 4831 |
| Zeros (%) | 72.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 116 |
| Maximum | 1090 |
| Range | 1090 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 83.03379577 |
|---|---|
| Coefficient of variation (CV) | 4.05175654 |
| Kurtosis | 47.55451125 |
| Mean | 20.49328358 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 6.274375994 |
| Sum | 137305 |
| Variance | 6894.61124 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4831 | |
| 1 | 338 | 5.0% |
| 2 | 140 | 2.1% |
| 3 | 99 | 1.5% |
| 4 | 63 | 0.9% |
| 5 | 61 | 0.9% |
| 7 | 57 | 0.9% |
| 6 | 45 | 0.7% |
| 8 | 38 | 0.6% |
| 11 | 31 | 0.5% |
| Other values (344) | 997 | 14.9% |
| Value | Count | Frequency (%) |
| 0 | 4831 | |
| 1 | 338 | 5.0% |
| 2 | 140 | 2.1% |
| 3 | 99 | 1.5% |
| 4 | 63 | 0.9% |
| Value | Count | Frequency (%) |
| 1090 | 2 | |
| 1038 | 1 | |
| 967 | 1 | |
| 882 | 1 | |
| 856 | 1 |
has_finished_mifid
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 52.5 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 6703 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 1 | 3811 | |
| 0 | 2892 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 1 | 3811 | |
| 0 | 2892 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 3811 | |
| 0 | 2892 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6703 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 3811 | |
| 0 | 2892 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 6703 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 3811 | |
| 0 | 2892 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6703 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 3811 | |
| 0 | 2892 |
| Distinct | 350 |
|---|---|
| Distinct (%) | 9.2% |
| Missing | 2890 |
| Missing (%) | 43.1% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.05691057 |
| Minimum | 0 |
|---|---|
| Maximum | 1090 |
| Zeros | 800 |
| Zeros (%) | 11.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 2 |
| Q3 | 13 |
| 95-th percentile | 221 |
| Maximum | 1090 |
| Range | 1090 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 105.7544829 |
|---|---|
| Coefficient of variation (CV) | 2.932987915 |
| Kurtosis | 26.9007546 |
| Mean | 36.05691057 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 4.765347049 |
| Sum | 137485 |
| Variance | 11184.01066 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 834 | 12.4% |
| 0 | 800 | 11.9% |
| 2 | 398 | 5.9% |
| 3 | 233 | 3.5% |
| 4 | 135 | 2.0% |
| 5 | 101 | 1.5% |
| 6 | 75 | 1.1% |
| 7 | 65 | 1.0% |
| 8 | 62 | 0.9% |
| 10 | 52 | 0.8% |
| Other values (340) | 1058 | 15.8% |
| (Missing) | 2890 |
| Value | Count | Frequency (%) |
| 0 | 800 | |
| 1 | 834 | |
| 2 | 398 | |
| 3 | 233 | 3.5% |
| 4 | 135 | 2.0% |
| Value | Count | Frequency (%) |
| 1090 | 1 | |
| 1040 | 1 | |
| 968 | 1 | |
| 936 | 1 | |
| 882 | 1 |
has_deposit
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 52.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 6703 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 4719 | |
| 1 | 1984 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 4719 | |
| 1 | 1984 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4719 | |
| 1 | 1984 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6703 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 4719 | |
| 1 | 1984 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 6703 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 4719 | |
| 1 | 1984 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6703 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 4719 | |
| 1 | 1984 |
| Distinct | 312 |
|---|---|
| Distinct (%) | 15.7% |
| Missing | 4719 |
| Missing (%) | 70.4% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 59.60685484 |
| Minimum | 0 |
|---|---|
| Maximum | 1050 |
| Zeros | 89 |
| Zeros (%) | 1.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 4 |
| median | 11 |
| Q3 | 47 |
| 95-th percentile | 303.85 |
| Maximum | 1050 |
| Range | 1050 |
| Interquartile range (IQR) | 43 |
Descriptive statistics
| Standard deviation | 126.7542907 |
|---|---|
| Coefficient of variation (CV) | 2.126505265 |
| Kurtosis | 17.9245195 |
| Mean | 59.60685484 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 3.849901044 |
| Sum | 118260 |
| Variance | 16066.6502 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 148 | 2.2% |
| 2 | 139 | 2.1% |
| 3 | 102 | 1.5% |
| 5 | 98 | 1.5% |
| 4 | 94 | 1.4% |
| 0 | 89 | 1.3% |
| 6 | 80 | 1.2% |
| 8 | 68 | 1.0% |
| 7 | 65 | 1.0% |
| 10 | 42 | 0.6% |
| Other values (302) | 1059 | 15.8% |
| (Missing) | 4719 |
| Value | Count | Frequency (%) |
| 0 | 89 | |
| 1 | 148 | |
| 2 | 139 | |
| 3 | 102 | |
| 4 | 94 |
| Value | Count | Frequency (%) |
| 1050 | 1 | |
| 1042 | 1 | |
| 1006 | 1 | |
| 984 | 1 | |
| 956 | 1 |
| Distinct | 270 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.853190752 |
| Minimum | 0 |
|---|---|
| Maximum | 1000 |
| Zeros | 4719 |
| Zeros (%) | 70.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1.929161201 |
| 95-th percentile | 19.29161201 |
| Maximum | 1000 |
| Range | 1000 |
| Interquartile range (IQR) | 1.929161201 |
Descriptive statistics
| Standard deviation | 29.74785421 |
|---|---|
| Coefficient of variation (CV) | 6.129545638 |
| Kurtosis | 432.5593816 |
| Mean | 4.853190752 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 17.84337111 |
| Sum | 32530.93761 |
| Variance | 884.9348298 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 4719 | |
| 1.929161201 | 564 | 8.4% |
| 3.858322401 | 385 | 5.7% |
| 7.716644803 | 135 | 2.0% |
| 19.29161201 | 116 | 1.7% |
| 38.58322401 | 82 | 1.2% |
| 11.5749672 | 71 | 1.1% |
| 2.314993441 | 60 | 0.9% |
| 5.787483602 | 43 | 0.6% |
| 9.645806004 | 26 | 0.4% |
| Other values (260) | 502 | 7.5% |
| Value | Count | Frequency (%) |
| 0 | 4719 | |
| 0.03858322401 | 1 | < 0.1% |
| 0.1022455436 | 1 | < 0.1% |
| 0.1736245081 | 1 | < 0.1% |
| 0.1929161201 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 1000 | 1 | < 0.1% |
| 771.6644803 | 2 | < 0.1% |
| 771.5487306 | 1 | < 0.1% |
| 462.8154179 | 1 | < 0.1% |
| 385.8322401 | 7 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.557064001 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 728 |
| Zeros (%) | 10.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.524490366 |
|---|---|
| Coefficient of variation (CV) | 0.9790800926 |
| Kurtosis | 1.272916836 |
| Mean | 1.557064001 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.638068951 |
| Sum | 10437 |
| Variance | 2.324070877 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 4719 | |
| 5 | 854 | 12.7% |
| 0 | 728 | 10.9% |
| 3 | 266 | 4.0% |
| 6 | 69 | 1.0% |
| 4 | 51 | 0.8% |
| 2 | 16 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 728 | 10.9% |
| 1 | 4719 | |
| 2 | 16 | 0.2% |
| 3 | 266 | 4.0% |
| 4 | 51 | 0.8% |
| Value | Count | Frequency (%) |
| 6 | 69 | 1.0% |
| 5 | 854 | |
| 4 | 51 | 0.8% |
| 3 | 266 | 4.0% |
| 2 | 16 | 0.2% |
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.750410264 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 649 |
| Zeros (%) | 9.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6 |
| median | 9 |
| Q3 | 12 |
| 95-th percentile | 13 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 4.04697566 |
|---|---|
| Coefficient of variation (CV) | 0.4624898191 |
| Kurtosis | -0.4249155079 |
| Mean | 8.750410264 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | -0.7458739295 |
| Sum | 58654 |
| Variance | 16.37801199 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 12 | 2071 | |
| 13 | 1021 | |
| 5 | 747 | 11.1% |
| 0 | 649 | 9.7% |
| 7 | 645 | 9.6% |
| 6 | 639 | 9.5% |
| 8 | 430 | 6.4% |
| 9 | 265 | 4.0% |
| 10 | 130 | 1.9% |
| 11 | 64 | 1.0% |
| Other values (2) | 42 | 0.6% |
| Value | Count | Frequency (%) |
| 0 | 649 | |
| 1 | 1 | < 0.1% |
| 5 | 747 | |
| 6 | 639 | |
| 7 | 645 |
| Value | Count | Frequency (%) |
| 15 | 41 | 0.6% |
| 13 | 1021 | |
| 12 | 2071 | |
| 11 | 64 | 1.0% |
| 10 | 130 | 1.9% |
| Distinct | 12 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.355512457 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 649 |
| Zeros (%) | 9.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6 |
| median | 8 |
| Q3 | 12 |
| 95-th percentile | 13 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 4.081419453 |
|---|---|
| Coefficient of variation (CV) | 0.4884702733 |
| Kurtosis | -0.7078882074 |
| Mean | 8.355512457 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | -0.4779895924 |
| Sum | 56007 |
| Variance | 16.65798475 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 12 | 1412 | |
| 13 | 1264 | |
| 5 | 1002 | |
| 6 | 820 | |
| 7 | 714 | |
| 0 | 649 | |
| 8 | 404 | 6.0% |
| 9 | 216 | 3.2% |
| 10 | 109 | 1.6% |
| 11 | 61 | 0.9% |
| Other values (2) | 52 | 0.8% |
| Value | Count | Frequency (%) |
| 0 | 649 | |
| 1 | 1 | < 0.1% |
| 5 | 1002 | |
| 6 | 820 | |
| 7 | 714 |
| Value | Count | Frequency (%) |
| 15 | 51 | 0.8% |
| 13 | 1264 | |
| 12 | 1412 | |
| 11 | 61 | 0.9% |
| 10 | 109 | 1.6% |
mifid_qualifications
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 52.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 6703 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 0 | 3550 | |
| 1 | 3153 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 3550 | |
| 1 | 3153 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3550 | |
| 1 | 3153 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6703 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 3550 | |
| 1 | 3153 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 6703 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 3550 | |
| 1 | 3153 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6703 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 3550 | |
| 1 | 3153 |
mifid_experience
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 52.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 6703 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 4589 | |
| 1 | 2114 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 4589 | |
| 1 | 2114 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 4589 | |
| 1 | 2114 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6703 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 4589 | |
| 1 | 2114 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 6703 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 4589 | |
| 1 | 2114 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6703 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 4589 | |
| 1 | 2114 |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 52.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 6703 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
| Value | Count | Frequency (%) |
| 0 | 3587 | |
| 1 | 3116 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 3587 | |
| 1 | 3116 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 3587 | |
| 1 | 3116 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6703 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 3587 | |
| 1 | 3116 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 6703 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 3587 | |
| 1 | 3116 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6703 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 3587 | |
| 1 | 3116 |
| Distinct | 11 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.656422497 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 3587 |
| Zeros (%) | 53.5% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 12 |
| 95-th percentile | 13 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 5.399632781 |
|---|---|
| Coefficient of variation (CV) | 1.159609718 |
| Kurtosis | -1.521028421 |
| Mean | 4.656422497 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.4913490494 |
| Sum | 31212 |
| Variance | 29.15603417 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 0 | 3587 | |
| 12 | 1358 | 20.3% |
| 13 | 515 | 7.7% |
| 5 | 395 | 5.9% |
| 6 | 307 | 4.6% |
| 7 | 237 | 3.5% |
| 8 | 151 | 2.3% |
| 9 | 91 | 1.4% |
| 10 | 28 | 0.4% |
| 11 | 18 | 0.3% |
| Value | Count | Frequency (%) |
| 0 | 3587 | |
| 5 | 395 | 5.9% |
| 6 | 307 | 4.6% |
| 7 | 237 | 3.5% |
| 8 | 151 | 2.3% |
| Value | Count | Frequency (%) |
| 15 | 16 | 0.2% |
| 13 | 515 | 7.7% |
| 12 | 1358 | |
| 11 | 18 | 0.3% |
| 10 | 28 | 0.4% |
user_flow_name
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 52.5 KiB |
| 3 | |
|---|---|
| 0 | |
| 2 | 202 |
| 1 | 29 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 6703 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 3 |
| 5th row | 3 |
| Value | Count | Frequency (%) |
| 3 | 3455 | |
| 0 | 3017 | |
| 2 | 202 | 3.0% |
| 1 | 29 | 0.4% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 3 | 3455 | |
| 0 | 3017 | |
| 2 | 202 | 3.0% |
| 1 | 29 | 0.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 3455 | |
| 0 | 3017 | |
| 2 | 202 | 3.0% |
| 1 | 29 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6703 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 3 | 3455 | |
| 0 | 3017 | |
| 2 | 202 | 3.0% |
| 1 | 29 | 0.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 6703 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 3 | 3455 | |
| 0 | 3017 | |
| 2 | 202 | 3.0% |
| 1 | 29 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6703 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 3 | 3455 | |
| 0 | 3017 | |
| 2 | 202 | 3.0% |
| 1 | 29 | 0.4% |
| Distinct | 206 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 3595 |
| Missing (%) | 53.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16.84137709 |
| Minimum | 0 |
|---|---|
| Maximum | 957 |
| Zeros | 1804 |
| Zeros (%) | 26.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 52.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 3 |
| 95-th percentile | 88.65 |
| Maximum | 957 |
| Range | 957 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 67.47409902 |
|---|---|
| Coefficient of variation (CV) | 4.006447849 |
| Kurtosis | 58.25967699 |
| Mean | 16.84137709 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 6.765513322 |
| Sum | 52343 |
| Variance | 4552.754039 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1804 | |
| 1 | 313 | 4.7% |
| 2 | 202 | 3.0% |
| 3 | 103 | 1.5% |
| 4 | 61 | 0.9% |
| 5 | 60 | 0.9% |
| 7 | 36 | 0.5% |
| 6 | 35 | 0.5% |
| 8 | 22 | 0.3% |
| 10 | 20 | 0.3% |
| Other values (196) | 452 | 6.7% |
| (Missing) | 3595 |
| Value | Count | Frequency (%) |
| 0 | 1804 | |
| 1 | 313 | 4.7% |
| 2 | 202 | 3.0% |
| 3 | 103 | 1.5% |
| 4 | 61 | 0.9% |
| Value | Count | Frequency (%) |
| 957 | 1 | |
| 898 | 1 | |
| 852 | 1 | |
| 737 | 1 | |
| 691 | 1 |
conversion
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 52.5 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 6703 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
| Value | Count | Frequency (%) |
| 0 | 5076 | |
| 1 | 1627 | 24.3% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 0 | 5076 | |
| 1 | 1627 | 24.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 5076 | |
| 1 | 1627 | 24.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 6703 |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 5076 | |
| 1 | 1627 | 24.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 6703 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 5076 | |
| 1 | 1627 | 24.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6703 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 5076 | |
| 1 | 1627 | 24.3% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| user_currency | user_country | start_mifid_days | has_finished_mifid | finish_mifid_days | has_deposit | first_deposit_days | first_deposit_amount | first_deposit_platform | mifid_actual_savings | mifid_next_year_savings | mifid_qualifications | mifid_experience | mifid_money_other_brokers | mifid_invested_other_brokers | user_flow_name | first_trade_investor_account_demo_days | conversion | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | EUR | 36 | 0.0 | 0 | NaN | 0 | NaN | 0.0 | 1 | 8 | 8 | 0 | 0 | 1 | 8 | 0 | NaN | 0 |
| 1 | USD | 77 | 0.0 | 0 | NaN | 0 | NaN | 0.0 | 1 | 12 | 13 | 0 | 0 | 1 | 12 | 3 | NaN | 0 |
| 2 | EUR | 29 | 0.0 | 1 | 0.0 | 0 | NaN | 0.0 | 1 | 8 | 8 | 1 | 1 | 1 | 5 | 3 | NaN | 0 |
| 3 | EUR | 36 | 0.0 | 0 | NaN | 0 | NaN | 0.0 | 1 | 12 | 12 | 0 | 0 | 0 | 0 | 3 | NaN | 0 |
| 4 | EUR | 36 | 0.0 | 0 | NaN | 0 | NaN | 0.0 | 1 | 7 | 7 | 1 | 0 | 1 | 8 | 3 | NaN | 0 |
| 5 | EUR | 36 | 0.0 | 0 | NaN | 0 | NaN | 0.0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | NaN | 0 |
| 6 | EUR | 36 | 0.0 | 1 | 3.0 | 0 | NaN | 0.0 | 1 | 12 | 12 | 1 | 0 | 1 | 12 | 2 | 0.0 | 0 |
| 7 | USD | 25 | 0.0 | 1 | 1.0 | 0 | NaN | 0.0 | 1 | 12 | 13 | 0 | 0 | 1 | 12 | 3 | 1.0 | 0 |
| 8 | EUR | 24 | 0.0 | 1 | 0.0 | 0 | NaN | 0.0 | 1 | 8 | 6 | 0 | 0 | 0 | 0 | 3 | NaN | 0 |
| 9 | USD | 26 | 0.0 | 1 | 3.0 | 0 | NaN | 0.0 | 1 | 12 | 13 | 1 | 0 | 0 | 0 | 3 | NaN | 0 |
Last rows
| user_currency | user_country | start_mifid_days | has_finished_mifid | finish_mifid_days | has_deposit | first_deposit_days | first_deposit_amount | first_deposit_platform | mifid_actual_savings | mifid_next_year_savings | mifid_qualifications | mifid_experience | mifid_money_other_brokers | mifid_invested_other_brokers | user_flow_name | first_trade_investor_account_demo_days | conversion | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 6693 | EUR | 36 | 0.0 | 1 | 1.0 | 1 | 3.0 | 11.574967 | 5 | 6 | 13 | 1 | 1 | 0 | 0 | 0 | 26.0 | 1 |
| 6694 | EUR | 58 | 0.0 | 1 | 0.0 | 1 | 199.0 | 3.858322 | 5 | 13 | 13 | 1 | 0 | 0 | 0 | 0 | NaN | 1 |
| 6695 | USD | 91 | 811.0 | 1 | 829.0 | 1 | 1006.0 | 1.929161 | 0 | 13 | 5 | 1 | 0 | 1 | 12 | 0 | NaN | 0 |
| 6696 | EUR | 58 | 0.0 | 1 | 0.0 | 1 | 2.0 | 1.929161 | 5 | 12 | 12 | 1 | 0 | 0 | 0 | 0 | 0.0 | 1 |
| 6697 | EUR | 36 | 0.0 | 0 | NaN | 0 | NaN | 0.000000 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 |
| 6698 | EUR | 36 | 246.0 | 1 | 246.0 | 1 | 248.0 | 4.629987 | 5 | 12 | 12 | 0 | 0 | 0 | 0 | 0 | 0.0 | 1 |
| 6699 | EUR | 38 | 0.0 | 0 | NaN | 0 | NaN | 0.000000 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 | 0 |
| 6700 | EUR | 58 | 0.0 | 1 | 0.0 | 1 | 63.0 | 3.858322 | 5 | 5 | 5 | 1 | 1 | 0 | 0 | 0 | 0.0 | 1 |
| 6701 | USD | 20 | 167.0 | 1 | 169.0 | 1 | 196.0 | 1.929161 | 0 | 12 | 12 | 0 | 0 | 1 | 12 | 0 | 0.0 | 0 |
| 6702 | USD | 84 | 0.0 | 0 | NaN | 0 | NaN | 0.000000 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | 0 |